linear regression questions, bias-variance tradeoff etc.
Learning Engineer Interview Questions
6,594 learning engineer interview questions shared by candidates
Q: What attributes are important for a recommender system based on the Expedia purpose.
use a bias coin to simulate a die
Some questions to test your understanding of ML applications and approaches
array problem, pattern searching
The HR call was very short and I did not get asked behavioural questions. The HRs are very nice and reply to emails very quickly. Then the technical interviews. It seems that they have a pool of questions that are shared with all engineers. So the first interviewer asked me backend questions even though I applied for MLE. The interviewer was nice about it when I told them that I have not learned certain topics in school. I was asked about the Machine Learning projects on my resume. They wanted to see how well you know the specific concepts and ML algorithms you used in these projects. For the coding challenge, I got a pretty easy question in the first round, about designing a cache. The question asked in the second round was quite difficult and required dynamic programming. Also, even though the interview started in Mandarin, the interviewer switched to English when I told them that I did not know technical terms in Chinese. We had no problem in terms of communication.
The first round was focused on Python and SQL, and the second round had questions on machine learning modelling and behavioral questions
Technical interview asked about performing matrix multiplication in an efficient manner and a couple of questions regarding machine learning
First Round 1. Basics of Python (Data Structures, OOP Concepts, and basic coding mechanisums) 2. SQL (Basic Querying, Window functions, and joins) Second Round 1. Machine Learning Concepts
What strategy do you usually follow for hyperparameter tuning?
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